Research on Multi Energy Data Transaction Model Based on Vector Evaluate Genetic Algorithm

DOI

10.2991/ism3e-15.2015.134How to use a DOI?

Abstract

With the development of smart grid construction and the innovation of the business mode of State Grid, power systems business including generation, transmission, transformation, distribution, consumption and dispatching, produces a large amount of data every day. At the same time, power system is also one of the important application areas of big data. Based on the smart grid construction of Sino-Singapore Tianjin Eco-city, the model of big data transaction between power system and other industries is researched. First, the sources and characteristics of muti energy data in Sino-Singapore Tianjin Eco-city are analysed. Furthermore, this paper proposes a big data transaction model turned into multi attribute negotiation, and the utility function of multi attribute negotiation is proposed to reflect the correlation degree between different attributes. Finally, a multi objective optimization algorithm based on vector evaluated genetic algorithm for big data transaction of smart grid is given, so as to realize a win-win situation between buyers and sellers.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zheng Wang
AU  - Ling Jiang
AU  - Yongbiao Yang
AU  - Tianchun Xiang
AU  - Jie Song
AU  - Shengjun Yan
PY  - 2015/11
DA  - 2015/11
TI  - Research on Multi Energy Data Transaction Model Based on Vector Evaluate Genetic Algorithm
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 559
EP  - 562
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.134
DO  - 10.2991/ism3e-15.2015.134
ID  - Wang2015/11
ER  -